

import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


_UpperCamelCase     			=     ['''small''', '''medium''', '''large''']

_UpperCamelCase     			=     '''lm_head.decoder.weight'''
_UpperCamelCase     			=     '''lm_head.weight'''
def 		UpperCamelCase_(     snake_case__:    str    ,       snake_case__:    str  )			->					Optional[Any]:
 UpperCAmelCase__     							=							torch.load(lowercase_  )
 UpperCAmelCase__     							=							d.pop(lowercase_  )
 os.makedirs(lowercase_    ,       exist_ok=lowercase_  )
 torch.save(lowercase_    ,       os.path.join(lowercase_    ,       lowercase_  )  )


if __name__ == "__main__":
 _UpperCamelCase     			=     argparse.ArgumentParser()
 parser.add_argument('''--dialogpt_path''', default='''.''', type=str)
 _UpperCamelCase     			=     parser.parse_args()
 for MODEL in DIALOGPT_MODELS:
  _UpperCamelCase     			=     os.path.join(args.dialogpt_path, F"""{MODEL}_ft.pkl""")
  _UpperCamelCase     			=     F"""./DialoGPT-{MODEL}"""
  convert_dialogpt_checkpoint(
      checkpoint_path,
      pytorch_dump_folder_path,
  )











'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase        =							TypeVar("T")




class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			data
         a_						     =			None







  def __str__(			self	):






         """simple docstring"""


         return f'{self.data}'





class   __SCREAMING_SNAKE_CASE       (Generic[T]       ):


  """simple docstring"""


  def __init__(			self	):






         """simple docstring"""


         a_						     =			None







  def __iter__(			self	):






         """simple docstring"""


         a_						     =			self.top
         while node:
                yield node.data
                a_						     =			node.next







  def __str__(			self	):






         """simple docstring"""


         return "->".join([str(UpperCamelCase__	) for item in self]	)







  def __len__(			self	):






         """simple docstring"""


         return len(tuple(iter(self	)	)	)







  def    _a       (			self	):






         """simple docstring"""


         return self.top is None







  def    _a       (			self   ,	UpperCamelCase__	):






         """simple docstring"""


         a_						     =			Node(UpperCamelCase__	)
         if not self.is_empty():
                a_						     =			self.top
         a_						     =			node







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('pop from empty stack'	)
         assert isinstance(self.top   ,	UpperCamelCase__	)
         a_						     =			self.top
         a_						     =			self.top.next
         return pop_node.data







  def    _a       (			self	):






         """simple docstring"""


         if self.is_empty():
                raise IndexError('peek from empty stack'	)

         assert self.top is not None
         return self.top.data







  def    _a       (			self	):






         """simple docstring"""


         a_						     =			None


if __name__ == "__main__":
  from doctest import testmod

  testmod()




